Effect of adhesion and the wear-resistant layer thickness ratio on mechanical and performance properties of ZrN - (Zr,Al,Si)N coatings
| Autor: | Anatoliy Aksenenko, Nikolay Sitnikov, Vladimir Tabakov, Svetlana Shevchenko, Anton Seleznev, Alexey Vereschaka, Gaik Oganyan, Sergey N. Grigoriev |
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| Rok vydání: | 2019 |
| Předmět: |
Materials science
Critical load Bond strength 02 engineering and technology Surfaces and Interfaces General Chemistry Substrate (electronics) Adhesion engineering.material 021001 nanoscience & nanotechnology Condensed Matter Physics Indentation hardness Surfaces Coatings and Films law.invention 020303 mechanical engineering & transports 0203 mechanical engineering Magazine Coating law Materials Chemistry engineering Composite material 0210 nano-technology Layer (electronics) |
| Zdroj: | Surface and Coatings Technology. 357:218-234 |
| ISSN: | 0257-8972 |
| DOI: | 10.1016/j.surfcoat.2018.09.087 |
| Popis: | The study involved the investigation of the effect of the thickness of the adhesion layers (0.3 and 0.7 μm) and the wear-resistant layer (2.0, 4.0, 6.0, and 8.0 μm) on the microhardness, adhesion bond strength, and performance properties of the ZrN-(Zr,Al,Si)N coatings. The scratch-test method was applied to study the adhesion bond strength to the substrate and coating failure patterns. The study revealed an effect of the coefficient kwa, determining the effect of the thicknesses of the wear-resistant and adhesion layers of the coating on the value of the critical load LC2. The study investigated the wear patterns and mechanisms for the specified coatings and the tool life of tools with these coatings in turning. An effect of the coefficient kwa which is the adhesion and wear-resistant layer thickness ratio on the tool life and a difference in the wear pattern dynamics for tools with these coatings with wear-resistant layers of equal thickness and adhesion layers of different thicknesses was revealed. The study also determined the chemical and phase composition of the coatings. |
| Databáze: | OpenAIRE |
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